Which of the following best describes A/B testing?

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A/B testing is a method used to compare two versions of an ad, webpage, or other content to determine which performs better based on predefined metrics. This testing method involves showing the two variants to different segments of users at the same time and analyzing the resulting performance data. The focus is on measurable outcomes, such as click-through rates, conversion rates, or user engagement levels, allowing marketers and web developers to make data-driven decisions based on empirical evidence.

This approach is ideal for optimizing campaigns and user experiences, as it provides clear insights into which version resonates more effectively with the target audience. The process helps identify elements that can be improved, ensuring that businesses can enhance their impact through continuous testing and refinement of their strategies.

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